Machine Learning Engineer - Ads

The Apple Ads team is seeking a strategic, hands-on Machine Learning Engineer to drive innovation across a modern, large-scale platform

• Design, build, and operate real-time ML systems and large-scale data pipelines
• Collaborate with machine learning engineers to deploy and operationalize algorithms in production
• Define and execute an innovation roadmap
• Lead performance tuning, calibration, and drift detection
• Run A/B experimentation

• 4+ years of experience building machine learning capabilities across many different product areas at scale
• Strong proficiency in Java, Python, or Scala for algorithm and system development
• Experience with distributed systems and big data frameworks such as Spark, Kafka, Hadoop, or Flink
• Solid understanding of data structures, algorithms, and system design principles
• Expertise in working with relational databases (PostgreSQL, MySQL, Oracle) and NoSQL/Cloud storage (S3, GCS, etc.)
• Familiarity with CI/CD workflows, cloud environments, and containerized deployments
• Understanding of statistical methods, A/B testing, and online experimentation frameworks
• Prior experience working with machine learning platforms or real-time recommendation engines is a plus

• Comprehensive medical and dental coverage
• Retirement benefits
• Range of discounted products and free services
• Reimbursement for certain educational expenses
• Discretionary bonuses or commission payments
• Relocation assistance

Apple is an equal opportunity employer that is committed to inclusion and diversity